Data Engineer

2 days ago

Mumbai, Maharashtra, India Hire22 Full time ₹ 10,00,000 - ₹ 25,00,000 per year

One of Our Client Hiring a Data Engineer with 5 to 10 years of experience skilled in Databricks, Spark, ETL, and cloud platforms.

The role involves building scalable data pipelines, optimising workflows, and managing end-to-end data processing across AWS, Azure, or GCP. Location is Navi Mumbai or Pune.

Key Responsibilities:

  • Design, develop, and maintain data pipelines using Databricks and Apache Spark.
  • Extract, transform, and load (ETL) data from various sources(structured and unstructured) into the Databricks platform.
  • Optimize data pipelines for performance and scalability.
  • Collaborate with data analysts and data scientists to understand data requirements and provide data solutions.
  • Implement data quality checks and monitoring mechanisms.
  • Troubleshoot and resolve data pipeline issues.
  • Stay up-to-date with the latest data engineering technologies and best practices.
  • Participate in code reviews and contribute to documentation to ensure best practices are followed.

Required Skills and Experience:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of experience in data engineering or related fields.
  • Strong proficiency in Python or Scala programming languages.
  • Hands-on experience with Databricks and Apache Spark.
  • Knowledge of SQL and data warehousing concepts.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Understanding of data modeling and data warehousing principles.
  • Strong problem-solving and analytical skills, with attention to detail.
  • Excellent communication and collaboration skills.
  • Exposure to CI/CD practices in Databricks environments.
  • Basic knowledge of machine learning lifecycle and model deployment on Databricks.
  • Experience with data orchestration tools such as Apache Airflow.

Bonus Skills:

  • Exposure to CI/CD practices in Databricks environments.
  • Basic knowledge of machine learning lifecycle and model deployment on Databricks.
  • Experience with data orchestration tools such as Apache Airflow.

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